HR 3210119th CongressIn Committee

Artificial Intelligence Literacy and Inclusion Act

Introduced: May 6, 2025

Standard Summary

Comprehensive overview in 1-2 paragraphs

H.R. 3210, the Artificial Intelligence Literacy and Inclusion Act, would direct the National Science Foundation (NSF) to award grants to eligible organizations—such as nonprofits, colleges, and consortia—to create, run, and evaluate local AI literacy programs. The goal is to help communities learn about artificial intelligence from trusted local sources, with funds used for curricula, educational materials, training, outreach, and program evaluation. The act prioritizes reaching marginalized groups (including people of color, low-income populations, rural residents, seniors, and people with disabilities) and requires recipients to report annually on who is served and the program’s impact. The bill also directs several federal agencies to prepare reports within a year on how to advance AI literacy through workforce development, business competitiveness, education, and national security, and to identify existing award programs that could be adapted to support AI literacy. Definitions clarify what counts as AI, AI literacy, and ethical AI.

Key Points

1NSF awards for AI literacy programs: Eligible entities can receive funding to develop, implement, and evaluate local AI literacy efforts, focusing on basics of AI, applications, ethics, and societal impacts.
2Use of funds: Grants may be used for curriculum creation, training and education, outreach to underserved communities, and evaluating program effectiveness and sharing best practices.
3Prioritization criteria: Awards may favor programs with strong commitments to marginalized communities, prior experience with target populations, and innovative, scalable approaches to AI education.
4Reporting requirements: Each award recipient must submit an annual report detailing the funded AI literacy programs, participant demographics, and the program’s impact on participants’ understanding of AI and its societal implications.
5Interagency coordination and reporting: Within one year of enactment, several federal agencies (Labor, Commerce, Small Business Administration, Education) must report to Congress on how AI literacy can be advanced, including how existing awards can be modified to include AI literacy and how such efforts relate to workforce development, business competitiveness, education, and national security. These reports must be developed with stakeholder input and publicly posted.

Impact Areas

Primary group/area affected: Individuals and communities targeted for AI literacy—especially marginalized populations (people of color, low-income communities, rural residents, seniors, people with disabilities), as well as students at K-12 and higher education levels who gain AI literacy through local programs.Secondary group/area affected: Educational institutions, community organizations, and local education ecosystems that partner with NSF-supported programs; small businesses and local employers able to leverage AI-literate workforces.Additional impacts: Potential expansion of public awareness about AI ethics and societal effects; increased sharing of best practices in AI education; more robust data on program effectiveness through annual reporting; and a greater role for federal agencies in coordinating AI literacy efforts to support workforce development, economic competitiveness, and national security.

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